火力与指挥控制2017，Vol.42Issue(2)：60-63,4.
基于LBP-PCA的多传感器目标识别算法
Research on Algorithm of Multi Sensor Target Recognition Based on LBP-PCA
摘要
Abstract
In order to improve the recognition rate of multi sensor image fusion,a multi sensor target recognition algorithm based on LBP-PCA is proposed. First,infrared and visible light images were preprocessed respectively. It is used to highlight the object to be recognized and using PCA algorithm to feature fusion,then the feature of dimension reduction is obtained. Finally,the fusion feature is classified and identified by using SVM (Support Vector Machine). Experimental simulation results show that the multi sensor images based on LBP-PCA fusion can reduce the dimension of the feature and improve the efficiency of target recognition.关键词
LBP/PCA/多传感器/目标识别Key words
LBP/PCA/multi sensor/object recognition分类
信息技术与安全科学引用本文复制引用
宋建辉,张俊,刘砚菊,于洋..基于LBP-PCA的多传感器目标识别算法[J].火力与指挥控制,2017,42(2):60-63,4.基金项目
辽宁省教育厅基金(L2014079) （L2014079）
辽宁省自然科学基金资助项目(201602652) （201602652）
